MACHINE LEARNING REASONING: THE ZENITH OF DISCOVERIES IN STREAMLINED AND ATTAINABLE SMART SYSTEM EXECUTION

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where AI inference becomes crucial, emerging as a key area for experts and industr